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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: Blind Assistance Using Machine Learning
Authors Name: Pruthvi B , Poorvika J , Pooja C , Kruthi M , Pruthvi B
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IJRTI_183288
Published Paper Id: IJRTI2207219
Published In: Volume 7 Issue 7, July-2022
DOI:
Abstract: Visually impaired people face lot of inconvenience to move in and out without any proper assistance or help from others. Hence it becomes mandate to provide an user-friendly device to assist them. Thus, a solution for such people is proposed by an efficient technique like machine learning algorithm. In order to access machine learning technique. The necessary data input are obtained using a technique called Image acquisition. Multiple technologies like Convolutional Neural Network(CNN) is implemented. Convolutional Neural Network(CNN) is an algorithm used for image processing. It is a class of artificial neural networks that has been successfully applied to analyze the visual image. Using image processing we can recognize object and identify gender. The object in the vicinity are captured as images using camera. It can detect every object and identify gender precisely with in some prior distance. The captured images are then converted into audio signals for providing convenient means for assisting blind people. Thus, a flexible guiding mechanism with user friendliness is developed for helping blind people.
Keywords: OBJECT, Keras, OpenCV, GENDER, Tensorflow, GTTS.
Cite Article: "Blind Assistance Using Machine Learning ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 7, page no.1399 - 1403, July-2022, Available :http://www.ijrti.org/papers/IJRTI2207219.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2207219
Registration ID:183288
Published In: Volume 7 Issue 7, July-2022
DOI (Digital Object Identifier):
Page No: 1399 - 1403
Country: bangalore, Karnataka, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2207219
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2207219
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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